Meng Fanqi has fantasized about rebirth-related scenes several times, and the first step is to release the residual network to this venue.

In his imagination, this moment is the real beginning of his career.

But what he didn't expect was that the tech giants' sense of smell was far sharper than he had imagined.

Prior to the Dec. 7 report, Google and Whiteness had already signed separate contracts with themselves.

When Jeff finally signed the contract with Meng Fanqi on behalf of Google, he also felt a burst of pain.

This is also the most lucrative contract in the history of Google's talent poaching.

In the end, the proportion of the share was basically set at the highest level of 3 percent, 1-2 years, and then 1 percent for three years.

All of them were the most extreme treatments of the draft contract given by Jeff.

"It's hard to divide close to 100 million dollars a year." This is the worst-case scenario in the minds of Jeff and the relevant directors.

They had no idea that the profits that Meng Fanqi would take away from Google in just 2-3 years would be a terrifying figure dozens of times larger.

On this basis, relying on investment and entrepreneurship, he became the youngest and fastest self-made billionaire in history.

This made him stand out among a group of fifty or sixty-year-old men.

Without relying on anyone's investment, that's the value and power of technology.

"I have to say, you're the first one to make me so entangled." Before the start of the meeting on the 7th, Jeff finally signed the contract with Meng Fanqi at the Sini venue.

He smiled bitterly and shook Meng Fanqi's hand, normally, he would rather give up than give in to this situation.

But Hinton convinced him that Meng's talent and academic taste in AI research were unprecedented.

For the company's future in the direction of AI, he vouched for his position at Google to the board of directors.

"Now that the contract has been signed, I'm ready to do some research." Meng Fanqi is satisfied with this final version, although his technology is very strong, there is no better platform in the world than Google at this time.

If he really messes up, it's also a very passive thing for him.

"Although I will not arrive in the United States for a few months late, my willingness to cooperate with Google is very strong, and I already have some ideas that I need to verify with your relevant data and materials."

Meng Fanqi is not very clear about Google's advanced recommendation advertising algorithm after 2020, but he has read the classic papers in the 16-19 time period.

These technologies require customer behavior data from within Google in order to train models well.

This is also why the more AI develops, the more it looks like a monopoly industry, and it is not technology that forms the threshold, but high-quality massive data and terrifying computing power required.

"Of course, there is no problem, now that the contract has been signed, we will hand over your internal account with the corresponding permissions. You can access the corresponding internal data and materials, but beware of leaks. Jeff reminded.

Once these internal things are leaked, the compensation required by the contract can be quite large.

"The most common questions have relevant onboarding documents and guidelines, and if you need any help, you can always discuss it with my students Alix and Elijah." Hinton is still quite optimistic about Meng Fanqi.

Alix and Ilya? Started working with the CTO of ChatGPT?

It feels really good.

The graduation of a doctorate in the United States is still relatively long, so the age of Alix and Ilya is basically the same as before Meng Fanqi's rebirth, and the communication is quite smooth.

Ilya, in particular, is currently focusing on seq-to-seq-related issues, that is, sentence-to-sentence tasks, such as translation and dialogue.

Since ChatGPT is the most popular and shocking product in the history of AI, all major domestic manufacturers are trying to copy this technology.

Therefore, Meng Fanqi is most familiar with the path of Ilya in the field of natural language.

In the previous short exchange, Ilya felt that she was more confused, and Meng Fanqi was always able to guide herself, and she was immediately convinced.

"A genius is still a genius, and it's completely unreasonable." Ilya is actually a genius himself, "He mainly does visual research, but he understands natural language problems more deeply than me." ”

Ilya was quickly convinced, and secretly decided to communicate and cooperate with Meng Fanqi more.

"Then can I first understand the process and verification indicators of Google's current recommendation and advertising algorithms?"

Google has already prepared the internal account, and after Meng Fanqi logged in, he looked around, and many things were still relatively familiar.

For example, Google's code specification, which was the blueprint for the code specification of many large factories in China, was basically familiar with Meng Fanqi.

As for some internal tools, although many Meng Fanqi have not used them, they are also famous and have heard of them.

As a result, most of the features are quick to pick up.

In the code management repository, most of the content that has nothing to do with you is not open to you, in fact, it doesn't matter, he can't understand it if it's opened.

For example, the source code of Google Chrome has been open source for a long time, but ordinary people don't have the ability to understand it at all.

The amount of code is huge and complex, even if it is a summary written by others, Meng Fanqi can't understand it.

He mainly focuses on several AI-related algorithm directions, and Google's internal progress is still quite fast, so he has to hurry up and make a few technologies that are fast to monetize.

And then slowly make breakthroughs in AI.

"Advertising algorithms and recommendation algorithms?" Both Jeff and Hinton have question marks on their faces.

If there are many similarities between image algorithms and language algorithms, recommendation and advertising are very different fields.

In the past two years, the breakthrough in image has been the fastest, followed by language.

Meng Fanqi himself has made three major image achievements in the past few months.

Jeff is still counting on him to do another great job in Google Brain, but why did the kid go to the recommendation ad?

Is it just for the money?

That's right, it's for the money, and for no other reason.

Algorithmic breakthroughs in this area can directly pump more than 8% of Google's income, which is much more attractive than AI technology in other directions.

"Aren't you going to continue working on image algorithms?" Hinton was a little worried, he was a relatively pure scholar, although he was troubled by money in the early days, but after tens of millions, he no longer cared about money, but did academics with peace of mind.

But at present, it seems that Meng Fanqi is obviously not such a person, he went to the advertising business with the most money, and such a utilitarian mentality made Hinton a little worried.

"No, I have a little idea about recommendation algorithms, but I have no data to support it before, and my focus is still on images and language."

Meng Fanqi only remembered a few recommendation algorithms, and he had to make them quickly to monetize. In a few years, he won't be able to keep up with this level, and he won't be able to do it all the time.

Hearing this, Hinton felt a little relieved.